确定多个测试的最佳顺序
Lucas Böttcher1,2, Stefan Felder3,4
1Department of Computational Science and Philosophy, Frankfurt School of Finance and Management, Frankfurt am Main, Germany.
Statistics in medicine
|October 17, 2025
概括
优化医疗测试选择包括平衡好处和危害. 本研究介绍了一种方法来计算单个和多个诊断测试的增量净益 (INB),指导最佳测试选择和序列.
科学领域:
- 医疗决策的制定 医疗决策的制定
- 卫生经济学 卫生经济学
- 诊断试验评价 诊断试验评价
背景情况:
- 临床决策涉及平衡治疗的好处与测试的危害和成本.
- 准确的诊断对于有效的患者管理和资源分配至关重要.
研究的目的:
- 量化单个和多个诊断测试的增量净益 (INB).
- 根据疾病概率和成本效益权衡,开发一个优化测试选择和测试序列的框架.
主要方法:
- 将INB分解为信息价值和与测试相关的成本/损害.
- 对测试组合的聚合函数 (连接函数,分割函数,多数函数) 的分析.
- 适用于前列腺癌,结肠直肠癌和冠状动脉疾病诊断.
主要成果:
- 最佳的测试选择和测试顺序取决于测试前的疾病概率和治疗成本效益比.
- 决策边界确定了单一,连接,分离和多数测试方法的最佳策略.
- 来自三个疾病实例的实证数据展示了INB框架的实际应用.
结论:
- 拟议的INB框架提供了一种全面的方法来优化诊断测试策略.
- 诊断测试的最佳使用取决于上下文,因疾病的流行率和治疗价值而有所不同.
- 有一个在线工具可用于可视化INB的组合测试,帮助临床决策支持.
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